{"id":"W2049681542","doi":"10.1371/journal.pone.0084313","title":"Biochemical Phenotypes to Discriminate Microbial Subpopulations and Improve Outbreak Detection","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Biology; Outbreak; Microbiology; Veterinary medicine; Medicine; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005400824,0.001302956,0.0009471708,0.006156314,0.0003554344,0.002346492,0.0008446295,0.0006751766,0.001592354],"category_scores_gemma":[0.01245389,0.000404255,0.0008249992,0.002403459,0.0005357282,0.001479417,0.001448862,0.001145703,0.0006924424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006249585,"about_ca_system_score_gemma":0.0009575462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00194287,"about_ca_topic_score_gemma":0.00261511,"domain_scores_codex":[0.9979637,0.000786629,0.0002781787,0.0004739664,0.0003467273,0.000150902],"domain_scores_gemma":[0.9887056,0.004161309,0.003581315,0.001059651,0.001949087,0.0005431269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005025962,0.000364579,0.8731799,0.0003001133,0.000217268,0.00008724938,0.0003327659,0.003756854,0.01456351,0.0004310015,0.001183643,0.1050805],"study_design_scores_gemma":[0.0001106628,0.001616083,0.8549749,0.0002725728,0.0004943745,0.001015718,0.001452662,0.0929371,0.03707547,0.004085463,0.005804861,0.0001601059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.862755,0.001785134,0.1218371,0.001050736,0.0001821637,0.0006456244,0.004158453,0.00198539,0.005600404],"genre_scores_gemma":[0.8911104,0.0005417996,0.1049591,0.0002531832,0.00007495118,0.0001727421,0.002278882,0.000126411,0.0004825099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006156314,"threshold_uncertainty_score":0.02856261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314851591156314,"score_gpt":0.2232965070183671,"score_spread":0.200147991106804,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}